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Feature Selection Based on Machine Learning in MRIs for Hippocampal SegmentationIntracluster light properties in the CLASH-VLT cluster MACS J1206.2-0847Recent results and perspectives of the NEMO projectRecent achievements of the NEMO projectSensitivity of an underwater Čerenkov km3 telescope to TeV neutrinos from Galactic microquasarsStatus of NEMOThe Euclid Data Processing ChallengesCLASH-VLT: The mass, velocity-anisotropy, and pseudo-phase-space density profiles of thez= 0.44 galaxy cluster MACS J1206.2-0847CLASH-VLT: Substructure in the galaxy cluster MACS J1206.2-0847 from kinematics of galaxy populationsCLASH-VLT: The stellar mass function and stellar mass density profile of thez= 0.44 cluster of galaxies MACS J1206.2-0847Mining knowledge in astrophysical massive data setsThe detection of globular clusters in galaxies as a data mining problemExtending the supernova Hubble diagram toz~ 1.5 with theEuclidspace missionMapping the galaxy color-redshift relation: optimal photometric redshift calibration strategies for cosmology surveysWeak-lensing study in VOICE survey – I. Shear measurementMachine-learning-based photometric redshifts for galaxies of the ESO Kilo-Degree Survey data release 2The first and second data releases of the Kilo-Degree SurveyPhotometric redshifts for the Kilo-Degree SurveyShapley Supercluster Survey: construction of the photometric catalogues andi-band data release
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description
Italiaans onderzoeker
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forsker
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researcher ORCID ID = 0000-0001-9506-5680
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name
M. Brescia
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M. Brescia
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M. Brescia
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Massimo Brescia
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Massimo Brescia
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Massimo Brescia
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Massimo Brescia
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M. Brescia
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Massimo Brescia
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Massimo Brescia
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Massimo Brescia
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M. Brescia
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M. Brescia
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M. Brescia
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M. Brescia
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Massimo Brescia
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Massimo Brescia
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Massimo Brescia
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Massimo Brescia
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0000-0001-9506-5680